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Volumn 88, Issue , 2015, Pages 16-25

Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation

Author keywords

Data assimilation; Ensemble Kalman filter; Initialization; Ocean sea ice modeling; Sea ice; Seasonal prediction

Indexed keywords

CLIMATOLOGY; FORECASTING; KALMAN FILTERS; SEA ICE;

EID: 84924785930     PISSN: 14635003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocemod.2014.12.013     Document Type: Article
Times cited : (57)

References (46)
  • 2
    • 84874569842 scopus 로고
    • The world water balance mean annual global, continental and maritime precipitation, evaporation and run-off
    • Baumgartner A., Reichel E. The world water balance mean annual global, continental and maritime precipitation, evaporation and run-off. Agric. Water Manage. 1976, 1(1):100-101.
    • (1976) Agric. Water Manage. , vol.1 , Issue.1 , pp. 100-101
    • Baumgartner, A.1    Reichel, E.2
  • 3
    • 0003778188 scopus 로고
    • Global distribution of the total amount of clouds
    • (in Russian)
    • Berliand M.E., Strokina T.G. Global distribution of the total amount of clouds. Hydrometeorological 1980, 71. (in Russian).
    • (1980) Hydrometeorological , vol.71
    • Berliand, M.E.1    Strokina, T.G.2
  • 5
    • 84912108569 scopus 로고    scopus 로고
    • Characteristics of Arctic sea-ice thickness variability in GCMs
    • Blanchard-Wrigglesworth E., Bitz C.M. Characteristics of Arctic sea-ice thickness variability in GCMs. J. Clim. 2014, 10.1175/JCLI-D-14-00345.1.
    • (2014) J. Clim.
    • Blanchard-Wrigglesworth, E.1    Bitz, C.M.2
  • 6
    • 79251591955 scopus 로고    scopus 로고
    • Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations
    • Blanchard-Wrigglesworth E., Armour K.C., Bitz C.M., DeWeaver E. Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations. J. Clim. 2011, 24:231-250.
    • (2011) J. Clim. , vol.24 , pp. 231-250
    • Blanchard-Wrigglesworth, E.1    Armour, K.C.2    Bitz, C.M.3    DeWeaver, E.4
  • 7
    • 84859951862 scopus 로고    scopus 로고
    • The role of sea ice thickness distribution in the Arctic sea ice potential predictability: a diagnostic approach with a coupled GCM
    • Chevallier M., Salas Mélia D. The role of sea ice thickness distribution in the Arctic sea ice potential predictability: a diagnostic approach with a coupled GCM. J. Clim. 2012, 25:3025-3038.
    • (2012) J. Clim. , vol.25 , pp. 3025-3038
    • Chevallier, M.1    Salas Mélia, D.2
  • 8
    • 84881636710 scopus 로고    scopus 로고
    • Seasonal forecasts of the pan-Arctic sea ice extent using a GCM-based seasonal prediction system
    • Chevallier M., Salas Mélia D., Voldoire A., Déqué M., Garric G. Seasonal forecasts of the pan-Arctic sea ice extent using a GCM-based seasonal prediction system. J. Clim. 2013, 26(16):6092-6104. 10.1175/JCLI-D-12-00612.1.
    • (2013) J. Clim. , vol.26 , Issue.16 , pp. 6092-6104
    • Chevallier, M.1    Salas Mélia, D.2    Voldoire, A.3    Déqué, M.4    Garric, G.5
  • 9
    • 42549102633 scopus 로고    scopus 로고
    • Trends in the sea ice cover using enhanced and compatible AMSR-E, SSM/I and SMMR data
    • Comiso J.C., Nishio F. Trends in the sea ice cover using enhanced and compatible AMSR-E, SSM/I and SMMR data. J. Geophys. Res. 2008, 113.
    • (2008) J. Geophys. Res. , pp. 113
    • Comiso, J.C.1    Nishio, F.2
  • 11
    • 84884550570 scopus 로고    scopus 로고
    • The ensemble Kalman filter: theoretical formulation and practical implementation
    • Evensen G. The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dyn. 2003, 53:343-367.
    • (2003) Ocean Dyn. , vol.53 , pp. 343-367
    • Evensen, G.1
  • 15
    • 80052998409 scopus 로고    scopus 로고
    • Changing seasonal sea ice predictor relationships in a changing Arctic climate
    • Holland M.M., Stroeve J. Changing seasonal sea ice predictor relationships in a changing Arctic climate. Geophys. Res. Lett. 2011, 38:L18501.
    • (2011) Geophys. Res. Lett. , vol.38 , pp. L18501
    • Holland, M.M.1    Stroeve, J.2
  • 16
    • 84879893209 scopus 로고    scopus 로고
    • Initial-value predictability of Antarctic sea ice in the community climate system model 3
    • Holland M.M., Blanchard-Wrigglesworth E., Kay J., Vavrus S. Initial-value predictability of Antarctic sea ice in the community climate system model 3. Geophys. Res. Lett. 2013, 40(10):2121-2124. 10.1002/grl.50410.
    • (2013) Geophys. Res. Lett. , vol.40 , Issue.10 , pp. 2121-2124
    • Holland, M.M.1    Blanchard-Wrigglesworth, E.2    Kay, J.3    Vavrus, S.4
  • 17
    • 84906857225 scopus 로고    scopus 로고
    • Sea ice volume and age: Sensitivity to physical parameterizations and thickness resolution in the ice sea ice model
    • Hunke E.C. Sea ice volume and age: Sensitivity to physical parameterizations and thickness resolution in the ice sea ice model. Ocean Modell. 2014, 82(0):45-59. http://www.sciencedirect.com/science/article/pii/S1463500314000973.
    • (2014) Ocean Modell. , vol.82 , Issue.0 , pp. 45-59
    • Hunke, E.C.1
  • 26
    • 33846935330 scopus 로고    scopus 로고
    • Assimilation of ice concentration in a coupled ice-ocean model, using the ensemble Kalman filter
    • Lisæter K.A., Rosanova J., Evensen G. Assimilation of ice concentration in a coupled ice-ocean model, using the ensemble Kalman filter. Ocean Dyn. 2003, 53:368-388.
    • (2003) Ocean Dyn. , vol.53 , pp. 368-388
    • Lisæter, K.A.1    Rosanova, J.2    Evensen, G.3
  • 27
    • 34548621136 scopus 로고    scopus 로고
    • Assimilating synthetic CryoSat sea ice thickness in a coupled ice-ocean
    • Lisæter K.A., Evensen G., Laxon S. Assimilating synthetic CryoSat sea ice thickness in a coupled ice-ocean. J. Geophys. Res. 2007, 112:C07023.
    • (2007) J. Geophys. Res. , vol.112 , pp. C07023
    • Lisæter, K.A.1    Evensen, G.2    Laxon, S.3
  • 31
    • 84874575532 scopus 로고    scopus 로고
    • A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980-2008 using data assimilation
    • Massonnet F., Mathiot P., Fichefet T., Goosse H., König Beatty C., Vancoppenolle M., Lavergne T. A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980-2008 using data assimilation. Ocean Modell. 2013, 64:67-75. http://www.sciencedirect.com/science/article/pii/S146350031300005X.
    • (2013) Ocean Modell. , vol.64 , pp. 67-75
    • Massonnet, F.1    Mathiot, P.2    Fichefet, T.3    Goosse, H.4    König Beatty, C.5    Vancoppenolle, M.6    Lavergne, T.7
  • 32
  • 33
    • 84885613063 scopus 로고    scopus 로고
    • Sea-ice extent provides a limited metric of model performance
    • Notz D. Sea-ice extent provides a limited metric of model performance. Cryosphere Discuss. 2013, 7:3095-3131.
    • (2013) Cryosphere Discuss. , vol.7 , pp. 3095-3131
    • Notz, D.1
  • 34
    • 79952441516 scopus 로고    scopus 로고
    • Relation between two common localisation methods for the EnKF
    • Sakov P., Bertino L. Relation between two common localisation methods for the EnKF. Comput. Geosci. 2010, 15(2):225-237.
    • (2010) Comput. Geosci. , vol.15 , Issue.2 , pp. 225-237
    • Sakov, P.1    Bertino, L.2
  • 36
    • 84877997099 scopus 로고    scopus 로고
    • Seasonal forecast skill of Arctic sea ice area in a dynamical forecast system
    • Sigmond M., Fyfe J.C., Flato G.M., Kharin V.V., Merryfield W.J. Seasonal forecast skill of Arctic sea ice area in a dynamical forecast system. Geophys. Res. Lett. 2013, 40(3):529-534. 10.1002/grl.50129.
    • (2013) Geophys. Res. Lett. , vol.40 , Issue.3 , pp. 529-534
    • Sigmond, M.1    Fyfe, J.C.2    Flato, G.M.3    Kharin, V.V.4    Merryfield, W.J.5
  • 39
    • 84867592516 scopus 로고    scopus 로고
    • Assimilation of sea-ice concentration in a global climate model - physical and statistical aspects
    • Tietsche S., Notz D., Jungclaus J.H., Marotzke J. Assimilation of sea-ice concentration in a global climate model - physical and statistical aspects. Ocean Sci. Discuss. 2012, 9(4):2403-2455. http://www.ocean-sci-discuss.net/9/2403/2012/.
    • (2012) Ocean Sci. Discuss. , vol.9 , Issue.4 , pp. 2403-2455
    • Tietsche, S.1    Notz, D.2    Jungclaus, J.H.3    Marotzke, J.4
  • 40
    • 35948991934 scopus 로고    scopus 로고
    • Long-range prediction of the shipping season in hudson bay: a statistical approach
    • Tivy A., Alt B., Howell S., Wilson K., Yackel J. Long-range prediction of the shipping season in hudson bay: a statistical approach. Weather Forecast. 2007, 22(5):1063-1075. 10.1175/WAF1038.1.
    • (2007) Weather Forecast. , vol.22 , Issue.5 , pp. 1063-1075
    • Tivy, A.1    Alt, B.2    Howell, S.3    Wilson, K.4    Yackel, J.5
  • 42
    • 59249097861 scopus 로고    scopus 로고
    • Simulating the mass balance and salinity of Arctic and Antarctic sea ice. 1. Model description and validation
    • Vancoppenolle M., Fichefet T., Goosse H., Bouillon S., Madec G., Morales Maqueda M.A. Simulating the mass balance and salinity of Arctic and Antarctic sea ice. 1. Model description and validation. Ocean Modell. 2009, 27:33-53.
    • (2009) Ocean Modell. , vol.27 , pp. 33-53
    • Vancoppenolle, M.1    Fichefet, T.2    Goosse, H.3    Bouillon, S.4    Madec, G.5    Morales Maqueda, M.A.6
  • 43
    • 84867071359 scopus 로고    scopus 로고
    • A sea ice free summer Arctic within 30years: an update from cmip5 models
    • Wang M., Overland J.E. A sea ice free summer Arctic within 30years: an update from cmip5 models. Geophys. Res. Lett. 2012, 39(18):L18501. 10.1029/2012GL052868.
    • (2012) Geophys. Res. Lett. , vol.39 , Issue.18 , pp. L18501
    • Wang, M.1    Overland, J.E.2
  • 44
    • 84877971084 scopus 로고    scopus 로고
    • Seasonal prediction of Arctic sea ice extent from a coupled dynamical forecast system
    • Wang W., Chen M., Kumar A. Seasonal prediction of Arctic sea ice extent from a coupled dynamical forecast system. Mon. Weather Rev. 2012, 141(4):1375-1394. 10.1175/MWR-D-12-00057.1.
    • (2012) Mon. Weather Rev. , vol.141 , Issue.4 , pp. 1375-1394
    • Wang, W.1    Chen, M.2    Kumar, A.3
  • 46
    • 84899046697 scopus 로고    scopus 로고
    • Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends
    • Zygmuntowska M., Rampal P., Ivanova N., Smedsrud L.H. Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. Cryosphere 2014, 8(2):705-720. http://www.the-cryosphere.net/8/705/2014/.
    • (2014) Cryosphere , vol.8 , Issue.2 , pp. 705-720
    • Zygmuntowska, M.1    Rampal, P.2    Ivanova, N.3    Smedsrud, L.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.